Graph Contrastive Learning via Cluster-refined Negative Sampling for Semi-supervised Text Classification

Wei Ai, Jianbin Li, Ze Wang +4

Graph contrastive learning (GCL) has been widely applied to text classification tasks due to its ability to generate self-supervised signals from unlabeled data, thus facilitating…